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@tanneruser
Data engineer specializing in scalable ETL/ELT and real-time streaming for enterprise analytics.
I am a Data Engineer with over 10 years of experience designing and operating large-scale ETL/ELT pipelines and real-time streaming architectures for enterprise products.
I have built high-throughput ingestion pipelines handling ~1 billion records/day from 400+ sources and architected Lakehouse solutions (Apache Iceberg, Delta Lake on S3) for 180+ PB of data, improving downstream model training efficiency by 40% and reducing analytics query times by up to 55%.
I drive operational excellence through automated monitoring, lineage, and compliance (SOX, GDPR, FINRA), deploy infrastructure with Terraform and Kubernetes to accelerate provisioning by ~30%, and orchestrate 1,000+ active Airflow DAGs to ensure reliable batch workflows.
I partner closely with AI and product teams to integrate data into Agentforce AI and RAG-powered LLM assistants, mentor junior engineers, and deliver production-ready MLOps and model-deployment solutions across AWS, GCP, and Azure.
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Work history, roles, and key accomplishments
Salesforce
Feb 2018 - Present (7 years 9 months)
Designed and deployed high-throughput ingestion pipelines handling ~1B records/day across Kafka, Flink, Kinesis and Spark, enabling near-real-time analytics for Agentforce AI and Slack Data Cloud. Architected Lakehouse solutions on S3 (Apache Iceberg/Delta) for 180+ PB and optimized ETL into Snowflake/Redshift/BigQuery to reduce critical query times up to 55% while automating monitoring and compli
Walmart Global Tech
May 2014 - Feb 2018 (3 years 9 months)
Built and optimized data preprocessing and feature engineering pipelines using Python and Spark to improve model training efficiency for large-scale datasets. Deployed scalable ML models on AWS/Azure and automated workflows with Docker and Airflow to accelerate deployment cycles and increase reproducibility.
Degrees, certifications, and relevant coursework
Bachelor of Computer Science, Computer Science
2010 - 2014
Completed a Bachelor of Computer Science at the University of New Hampshire (2010–2014) with coursework and projects focused on ETL/ELT pipelines, data warehousing, real-time streaming, and distributed computing.
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